What's Happening?
Donald Kossmann, Chief Technology Officer at Chargebacks911, has identified a significant gap in the infrastructure of agentic commerce, particularly concerning dispute management. Agentic commerce, which involves AI agents initiating transactions, is projected
by McKinsey to generate up to USD 3 to USD 5 trillion in global revenue by 2030. Major players like Visa and Mastercard are already laying the groundwork for agent-led transactions. However, Kossmann points out that while the payments ecosystem is evolving to accommodate agentic commerce, it lacks a critical dispute and consent-evidence layer. This gap is crucial because, unlike human-initiated transactions where intent is clear, agentic transactions require a framework to verify consent and authorization after the fact. Without this, disputes become difficult to resolve, potentially leading to increased costs and eroded trust in the model.
Why It's Important?
The absence of a robust dispute management system in agentic commerce could have significant implications for the payments industry. As agentic commerce represents a structural shift from traditional card-present and ecommerce transactions, the lack of a consent framework could lead to increased disputes and chargebacks. This oversight could result in higher operational costs and diminished trust among consumers and merchants. For the model to scale successfully, it is essential to establish an evidence architecture that captures consent and authorization details. Merchants who invest in such infrastructure will not only protect themselves from disputes but also build the trust necessary for agentic commerce to thrive. This is not just a competitive advantage but a commercial necessity in a channel where AI agents select merchants based on transaction reliability.
What's Next?
The payments industry needs to address the infrastructure gap by developing a consent and evidence layer for agentic transactions. This involves capturing what an agent was authorized to do, the limits in place, and a timestamped record of each action taken. Chargebacks911 is already working on solutions like the Unified Dispute Management System (UDMS) and ResolveLab, which use AI and machine learning to construct and analyze the consent architecture required for agentic transactions. As the industry continues to evolve, merchants and financial institutions will need to adopt these technologies to manage disputes efficiently and recover revenue lost to false declines or unwinnable chargebacks.
